A Decentralized Model for Allied Closed-Loop Supply Chains: Comparative Analysis of Interactive Fuzzy Programming Approaches

The supply chain network design problem addresses various factors that maximize customers’ demand and minimizes the sum of strategic, tactical, and operational costs. Companies with common activities in their supply chains have started to cooperate with each other to achieve better service levels. B...

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Vydáno v:International journal of fuzzy systems Ročník 19; číslo 2; s. 367 - 382
Hlavní autoři: Çalık, Ahmet, Paksoy, Turan, Yıldızbaşı, Abdullah, Yapıcı Pehlivan, Nimet
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2017
Springer Nature B.V
Témata:
Alliances
Analytic hierarchy process
Artificial Intelligence
Closed loops
Computational Intelligence
Cost control
Customers
Decision making
Engineering
Impact analysis
Integer programming
Inventory
Linear programming
Management Science
Mixed integer
Network design
Objectives
Operations Research
Purchasing
Suppliers
Supply chains
Multi-level programming
Allied supply chains
Decentralized closed-loop supply chain
Interactive fuzzy programming
ISSN:1562-2479, 2199-3211
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Shrnutí:The supply chain network design problem addresses various factors that maximize customers’ demand and minimizes the sum of strategic, tactical, and operational costs. Companies with common activities in their supply chains have started to cooperate with each other to achieve better service levels. Based on this initiative, a multi-level mixed-integer linear programming model is developed that includes two allied supply chains with different decision makers (DM) at two different decision-making levels. The primary aim of this study is to design an allied closed-loop supply chain (CLSC) network that uses some of the same facilities. The secondary aim of this study is to examine this allied CLSC model simultaneously and analyse the impact of the DMs’ objectives based on satisfaction degrees. Various interactive fuzzy programming (IFP) approaches were utilized to examine the presented multi-level CLSC model. A novel IFP approach which is based on the fuzzy analytic hierarchy process (AHP) is proposed. The effectiveness of the proposed IFP approach on the CLSC model is investigated with hypothetical data. The computational results show that the proposed approach obtains higher satisfaction degrees for upper-level DMs than the other approaches.
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ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-016-0167-z